Inveniam's AI Solution Wins Major Award from Deutsche Telekom and
T-MOBILE US

EVP and CTO of T-Mobile US John Saw, Executive Board Member Technology and Innovation with Deutsche Telekom AG Claudia Nemat, Inveniam CCO Mike Greening, Inveniam Account Executive Evan Saunders, Group CTO with Deutsche Telekom AG Abdu Mudesir, Inveniam CTO Zied Kelboussi, and Inveniam CEO and founder Ahmed Ghorbal at the Deutsche Telekom AG headquarters in Bonn, Germany. (Deutsche Telekom AG)

Inveniam received the second place award for best telco focused AI solution from the telco giants during their annual T-Challenge event.

Inveniam is walking away from the prestigious T-Challenge with one of the top AI awards from Deutsche Telekom AG and T-Mobile US.

During the event on June 11, Inveniam was awarded a second-place win after demonstrating how it uses artificial intelligence and computer vision to increase efficiencies for telecommunication's operations in the field by analysing visual data like photos.

"Receiving this award and recognition from one of the biggest telecom companies globally is a tremendous honour for us. It reflects our dedication and hard work in pushing the boundaries of AI technology," said Inveniam Chief Executive Officer and Founder Ahmed Ghorbal.

"This achievement motivates us to aim higher and explore new frontiers in telecommunications. Together, we're poised to make significant strides and deliver innovative solutions that shape the future of our industry," Ghorbal said.

The company was chosen as one of the 12 finalists for the annual event after more than 400 submissions were sent to the two telecommunications giants. Over the course of two days, the finalists had to pitch their ideas in front of a grand jury consisting of some of the highest-ranking members in the industry, as well as host a lengthy seven hour demo session in the Deutsche Telekom AG headquarters in Bonn, Germany.

Inveniam's computer vision solution is designed to improve operational efficiencies across telecommunications field work by providing real-time, highly accurate analysis of visual data such as images. The technology is designed to allow technicians in the field to home in on any mistakes or issues with equipment and physical assets, and to give back-office management a comprehensive overview of any and all anomalies occurring across their daily operations as soon as they happen.

The solution has already been implemented with several telcos in France. Group CTO for Deutsche Telekom, Abdu Mudesir, announced Inveniam's win during the award ceremony.

"It's a team that brought in an idea of using computer vision to do image recognition of objects," Mudesir said during the live-streamed event. "You could apply this in a lot of field ops. For those of us who suffer daily on cables cut and many (other) things, this could be a solution for many of our headaches," Mudesir said.

Inveniam is joined by first place winners Synthefy and third place winners Rockfish Data in receiving the top honours at the ceremony. Special awards were given to the University of Washington for Most Engaging Presentation, Tiami Networks for Greatest Integration Potential, and GeoSPS for Most Visionary Solution.

"AI has the power to make network ecosystems drastically more efficient," said John Saw, EVP and Chief Technology Officer with T-Mobile US, in a press release from the company.

"The winners from this year's competition are paving the way for the future of telecoms and what that might look like in the age of AI," said Saw.

About Inveniam

Inveniam is an end-to-end computer vision solution that helps enterprises across telecommunications, utilities, and complex infrastructure industries enhance Right First Time operations, improve operational efficiencies and eliminate costly rework. Inveniam has already been integral in improving the operations of companies like Axione, Free, SIEA, and SFR. Transforming visual data into actionable insights, Inveniam’s software can quickly detect objects, patterns and anomalies faster than a traditional workforce ever could. With every lifecycle stage covered, we build, deploy and manage transformative computer vision solutions that our customers can rely upon.

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